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        <p>本文介绍 4.3分钟从零开始搭建一个车型检测识别AI<br><a id="more"></a></p>
<h1 id="4-3分钟从零开始搭建一个车型检测识别AI"><a href="#4-3分钟从零开始搭建一个车型检测识别AI" class="headerlink" title="4.3分钟从零开始搭建一个车型检测识别AI"></a>4.3分钟从零开始搭建一个车型检测识别AI</h1><blockquote>
<p>本文由在当地较为英俊的男子金天大神原创，版权所有，欢迎转载，本文首发地址 <a href="https://jinfagang.github.io" target="_blank" rel="noopener">https://jinfagang.github.io</a> 。但请保留这段版权信息，多谢合作，有任何疑问欢迎通过微信联系我交流：<code>jintianiloveu</code> </p>
</blockquote>
<p>车型检测识别是个刚需，目前这块还当真处于市场空白。我有很多面前一辆无比牛逼的跑车我却视之如五菱宏光。假如有一款app可以拍照识别车型，并且告诉你车的品牌，颜色，甚至是定损程度，这一定非常吸引人啊。我点子已经说到这里了。如果你参考我的文章写了一个这样的应用，别忘了回来给我打个赏。</p>
<p>闲话不多说，我们今天的主要目标就是在极其短的时间之类，构建一个车型检测识别的人工智能应用。而我们要祭出的大杀器，正是来自百度的图像识别平台。这个平台能做些什么事情呢，我在之前的文章都有详细的介绍。考虑到很多人并没有阅读之前的文章，所以在这里，我还是教大家如何一步步从零来构建这么一个应用。</p>
<h2 id="使用场景"><a href="#使用场景" class="headerlink" title="使用场景"></a>使用场景</h2><p>这个AI赋能的使用场景可有说是极其广泛。下面我们先简单的列举一下，然后再教大家如何去实现。</p>
<h3 id="做一个车型识别APP"><a href="#做一个车型识别APP" class="headerlink" title="做一个车型识别APP"></a>做一个车型识别APP</h3><p>开发一个APP一键拍照识别车型号甚至出厂年份是很直接的需求。目前在市场上很难找到一款完全用深度学习来做的这方面的产品啊。下面给大家演示的这个实例就可以看出，不管是准确度还是速度，这都无疑是最好的方式。</p>
<p>车型识别APP在市场上需求还是非常大的，这个API所能够检测的不仅仅包含国产车，国外车型、跑车、越野车等车型应有尽有，极大地满足客户们的需求。</p>
<h3 id="洗车门店客户车型自动识别"><a href="#洗车门店客户车型自动识别" class="headerlink" title="洗车门店客户车型自动识别"></a>洗车门店客户车型自动识别</h3><p>如果大家有幸成为一家汽车美容店的老板，那这个需求就很显然了，每天无数的车来来往往，有心的记录一下过往的顾客们的车型号、年份、颜色，从而从这些大数据中挖掘出一些用户消费模式，这就是AI赋能线下产业的一个很显然的例子啊！然而如果人工去做，无疑是耗时费力的。而这个平台所给予的便是最基础的能力！如果大家有想法建造一个这样的系统，那最起码最基础的功能部分已经被百度所解决了，接下来就是业务模式的问题了。</p>
<h3 id="高档社区车型自动统计"><a href="#高档社区车型自动统计" class="headerlink" title="高档社区车型自动统计"></a>高档社区车型自动统计</h3><p>很多企业用户，尤其是从事安防领域的会有这样的需求，他们往往需要知道每天进入的车辆的型号、颜色以及出厂年份，从而与人脸识别的车主对应。其实使用百度图像识别平台就可以非常出色的完成这个任务。如果大家仔细阅读下面的内容，就会发现，所有的这些需求都可以在返回的结果中得到！再结合百度的人脸识别SDK，所有的一切水到渠成！</p>
<p>好了，闲话不多说，让我们直接开始去实现它！</p>
<h2 id="注册百度图像识别平台车型检测的APP"><a href="#注册百度图像识别平台车型检测的APP" class="headerlink" title="注册百度图像识别平台车型检测的APP"></a>注册百度图像识别平台车型检测的APP</h2><p>首先大家请先进入百度图像识别平台，开始创建自己的app。</p>
<p><img src="/Users/jintian/Library/Containers/com.tencent.xinWeChat/Data/Library/Application Support/com.tencent.xinWeChat/2.0b4.0.9/c007fc43fb2a0e4409f30f4711b26a4b/Message/MessageTemp/f42203ca4aa7873a978b2509621aac5c/Image/3461520259496_.pic_hd.jpg" alt="3461520259496_.pic_hd"></p>
<p>我们可以看到一个霸气的banner，这里我们点击了解已有模型。我希望大家能够看到这个界面：</p>
<p><img src="/Users/jintian/Library/Containers/com.tencent.xinWeChat/Data/Library/Application Support/com.tencent.xinWeChat/2.0b4.0.9/c007fc43fb2a0e4409f30f4711b26a4b/Message/MessageTemp/f42203ca4aa7873a978b2509621aac5c/Image/3471520259541_.pic_hd.jpg" alt="3471520259541_.pic_hd"></p>
<p>大家点击立即使用，这个时候我们就需要进入我们的控制台了。</p>
<p>在这里你需要创建你的应用，在这里就不截图了。创建完应用之后，你就可以看到你的apikey和secretkey，这两个就是我们最终需要的绝密秘钥了。</p>
<p>然而我们需要进一步思考的问题是，如果用这么牛逼的平台来构建自己的车型识别应用呢？首先我们可能需要一张测试图片。我尽可能的把整个内容精简吧。我先给大家推荐一款直接根据关键词下载图片的深度学习工具：<strong>alfred</strong>。</p>
<h2 id="构建车型识别框架"><a href="#构建车型识别框架" class="headerlink" title="构建车型识别框架"></a>构建车型识别框架</h2><p>在这里给大家推荐<strong>alfred</strong>, 大家可以直接从pip安装：</p>
<figure class="highlight cmake"><table><tr><td class="code"><pre><div class="line">sudo pip3 <span class="keyword">install</span> alfred-py</div></pre></td></tr></table></figure>
<p>然后你可以在terminal里面看到alfred的使用方式：</p>
<figure class="highlight ebnf"><table><tr><td class="code"><pre><div class="line"><span class="attribute">alfred -h</span></div></pre></td></tr></table></figure>
<p>在这里不具体讲解。实际上我们需要的一辆<strong>保时捷911</strong>的图片, 请注意哦！我们要测试这个车型！如果百度图像识别平台没有检测出来，那就不能说其牛逼了，连保时捷911都不认识，那还检测个毛。我们直接用alfred进行搜索一张测试图片吧：</p>
<figure class="highlight stylus"><table><tr><td class="code"><pre><div class="line">alfred scrap image -<span class="selector-tag">q</span> <span class="string">'保时捷911'</span></div></pre></td></tr></table></figure>
<p>我们看看我们的测试图片啥样：</p>
<p><img src="/Users/jintian/Library/Containers/com.tencent.xinWeChat/Data/Library/Application Support/com.tencent.xinWeChat/2.0b4.0.9/c007fc43fb2a0e4409f30f4711b26a4b/Message/MessageTemp/52b0b27bf7e296a6b40715a90a40b171/Image/44331520261350_.pic.jpg" alt="44331520261350_.pic"></p>
<p>看上去很霸气。这要是我的车库该多好，纵横北京成大佬。别做梦了，还是想想接下来怎么做把。我们打算用上面那张黄色的保时捷来做一下测试。</p>
<p>测试代码如下：</p>
<figure class="highlight python"><table><tr><td class="code"><pre><div class="line"><span class="keyword">import</span> os</div><div class="line"><span class="keyword">import</span> requests</div><div class="line"><span class="keyword">import</span> cv2</div><div class="line"><span class="keyword">import</span> base64</div><div class="line"><span class="keyword">import</span> json</div><div class="line"><span class="keyword">from</span> pprint <span class="keyword">import</span> pprint</div><div class="line"><span class="keyword">import</span> time</div><div class="line"></div><div class="line"></div><div class="line"><span class="class"><span class="keyword">class</span> <span class="title">PlantRecognizer</span><span class="params">(object)</span>:</span></div><div class="line"></div><div class="line">    <span class="function"><span class="keyword">def</span> <span class="title">__init__</span><span class="params">(self, api_key, secret_key)</span>:</span></div><div class="line">        self.access_token = self._get_access_token(api_key=api_key, secret_key=secret_key)</div><div class="line">        self.API_URL = <span class="string">'https://aip.baidubce.com/rest/2.0/image-classify/v1/car'</span> + <span class="string">'?access_token='</span> \</div><div class="line">                       + self.access_token</div><div class="line"></div><div class="line"><span class="meta">    @staticmethod</span></div><div class="line">    <span class="function"><span class="keyword">def</span> <span class="title">_get_access_token</span><span class="params">(api_key, secret_key)</span>:</span></div><div class="line">        api = <span class="string">'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials'</span> \</div><div class="line">              <span class="string">'&amp;client_id=&#123;&#125;&amp;client_secret=&#123;&#125;'</span>.format(api_key, secret_key)</div><div class="line">        rp = requests.post(api)</div><div class="line">        <span class="keyword">if</span> rp.ok:</div><div class="line">            rp_json = rp.json()</div><div class="line">            print(rp_json[<span class="string">'access_token'</span>])</div><div class="line">            <span class="keyword">return</span> rp_json[<span class="string">'access_token'</span>]</div><div class="line">        <span class="keyword">else</span>:</div><div class="line">            print(<span class="string">'=&gt; Error in get access token!'</span>)</div><div class="line"></div><div class="line">    <span class="function"><span class="keyword">def</span> <span class="title">get_result</span><span class="params">(self, params)</span>:</span></div><div class="line">        rp = requests.post(self.API_URL, data=params)</div><div class="line">        <span class="keyword">if</span> rp.ok:</div><div class="line">            print(<span class="string">'=&gt; Success! got result: '</span>)</div><div class="line">            rp_json = rp.json()</div><div class="line">            pprint(rp_json)</div><div class="line">            <span class="keyword">return</span> rp_json</div><div class="line">        <span class="keyword">else</span>:</div><div class="line">            print(<span class="string">'=&gt; Error! token invalid or network error!'</span>)</div><div class="line">            print(rp.content)</div><div class="line">            <span class="keyword">return</span> <span class="keyword">None</span></div><div class="line"></div><div class="line">    <span class="function"><span class="keyword">def</span> <span class="title">detect</span><span class="params">(self, img_path)</span>:</span></div><div class="line">        f = open(img_path, <span class="string">'rb'</span>)</div><div class="line">        img_str = base64.b64encode(f.read())</div><div class="line">        params = &#123;<span class="string">'image'</span>: img_str, <span class="string">'with_face'</span>: <span class="number">1</span>&#125;</div><div class="line"></div><div class="line">        tic = time.clock()</div><div class="line">        rp_json = self.get_result(params)</div><div class="line">        toc = time.clock()</div><div class="line">        print(<span class="string">'=&gt; Cost time: '</span>, toc - tic)</div><div class="line"></div><div class="line">        result = rp_json[<span class="string">'result'</span>]</div><div class="line">        print(result)</div><div class="line"></div><div class="line"></div><div class="line"><span class="keyword">if</span> __name__ == <span class="string">'__main__'</span>:</div><div class="line">    recognizer = PlantRecognizer(api_key=<span class="string">'G5Vq7N0GGTBGK5C3vk4BV2N7'</span>, secret_key=<span class="string">'2NqvsFtbsgY9277QTInKXWVxyDw46Ri6'</span>)</div><div class="line"></div><div class="line">    img = <span class="string">'保时捷911/保时捷911_02.jpg'</span></div><div class="line">    recognizer.detect(img)</div></pre></td></tr></table></figure>
<p>好了，见证奇迹的时刻到了，让我们来运行一下？看看这个结果怎么样。<img src="/Users/jintian/Library/Containers/com.tencent.xinWeChat/Data/Library/Application Support/com.tencent.xinWeChat/2.0b4.0.9/c007fc43fb2a0e4409f30f4711b26a4b/Message/MessageTemp/52b0b27bf7e296a6b40715a90a40b171/Image/44361520261549_.pic_hd.jpg" alt="44361520261549_.pic_hd"></p>
<p>简直牛逼了好么！！！不仅识别出了这事保时捷911，连2002款也识别出来了！！！甚至识别出了这事香槟色！！！庸俗的我作为人类还以为是屎黄色。。</p>
<h2 id="总结"><a href="#总结" class="headerlink" title="总结"></a>总结</h2><p>我们大概花了3分钟时间够构建了一个车型检测的应用，不仅仅是车型，连车的出场年份都一清二楚，甚至包括车的颜色。二话不说，看了本文收到启发而且创业担任CEO的亲们，别忘了我的微信收款二维码。</p>

      
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        <ol class="nav"><li class="nav-item nav-level-1"><a class="nav-link" href="#4-3分钟从零开始搭建一个车型检测识别AI"><span class="nav-number">1.</span> <span class="nav-text">4.3分钟从零开始搭建一个车型检测识别AI</span></a><ol class="nav-child"><li class="nav-item nav-level-2"><a class="nav-link" href="#使用场景"><span class="nav-number">1.1.</span> <span class="nav-text">使用场景</span></a><ol class="nav-child"><li class="nav-item nav-level-3"><a class="nav-link" href="#做一个车型识别APP"><span class="nav-number">1.1.1.</span> <span class="nav-text">做一个车型识别APP</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#洗车门店客户车型自动识别"><span class="nav-number">1.1.2.</span> <span class="nav-text">洗车门店客户车型自动识别</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#高档社区车型自动统计"><span class="nav-number">1.1.3.</span> <span class="nav-text">高档社区车型自动统计</span></a></li></ol></li><li class="nav-item nav-level-2"><a class="nav-link" href="#注册百度图像识别平台车型检测的APP"><span class="nav-number">1.2.</span> <span class="nav-text">注册百度图像识别平台车型检测的APP</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#构建车型识别框架"><span class="nav-number">1.3.</span> <span class="nav-text">构建车型识别框架</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#总结"><span class="nav-number">1.4.</span> <span class="nav-text">总结</span></a></li></ol></li></ol>
    
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